Impact Factor 2025:
0.9
CiteScore 2025:
SJR 2025:
Prof Richard (Chunhui) Yang
Prof Richard Yang is the Interim Dean, School of Engineering, Director, Centre for Advanced Manufacturing Technology and Head of Discipline, Mechanical and Mechtronic Engineering, Faculty of Engineering, Computing and Science, Western Sydney University. His research fields include Mechanical Engineering, Manufacturing Engineering, advanced Manufacturing, Additive Manufacturing/3D Printing, Digital Twin, Industry 4.0, Mechanical Design, Engineering Numerical Methods, Multiscale Modelling Techniques, etc.
2026-10-23
2026-08-17
2026-06-18
Abstract—Backhoe excavators are construction machines can be use for hazardous and even poisonous environmental conditions, worst working conditions, severe weather, and dirty areas where it is very difficult to operate machine by human operator. The excavation task can be performing successfully and effectively for above mentioned working conditions by semiautonomous or fully computer controlled of excavation machines. For this it is important to understand the kinematics of this machine. For autonomous excavation operation of a backhoe, it is desirable to place the bucket to a specified location. The bucket configuration can be determined by the direct kinematic equations for given lengths of the piston rods in the actuators or the joint angles. This paper emphasize on the explicit expressions for the direct (forward) kinematics of backhoe excavator. It covers systematic procedure to assign Cartesian coordinate frames for the links (joints) of an excavator. The developed forward kinematic model is intended for development of an automated excavation control system for light duty construction work and can be applied for heavy duty or all types of backhoe excavators. Index Terms—Autonomous, Excavation, Bucket configuration, Direct kinematic, Backhoe excavator
Cite: Bhaveshkumar P Patel and J M Prajapati, "Kinematics of Mini Hydraulic Backhoe Excavator-Part: I," International Journal of Mechanical Engineering and Robotics Research, Vol.2, No. 1, pp. 166-182, January 2013.